Use Cases

Customer Service

Intelligent, Continuous and Scalable Customer Service

Initial project approach

The challenge

Customer service operations must evolve to meet an increasingly demanding environment, where users expect immediacy, 24/7 availability, and seamless experiences across multiple channels.

At the same time, the growing volume of interactions puts pressure on support teams, making it difficult to maintain quality, consistency and efficiency in responses.

Objective

To implement an intelligent service model capable of automating high-volume inquiries, improving customer experience and optimizing operational efficiency  without losing personalization or context in interactions.

Contexto del sector

El desafío

Customer service operations must evolve to meet an increasingly demanding environment, where users expect immediacy, 24/7 availability, and seamless experiences across multiple channels.

At the same time, the growing volume of interactions puts pressure on support teams, making it difficult to maintain quality, consistency and efficiency in responses.

Objetivo

To implement an intelligent service model capable of automating high-volume inquiries, improving customer experience and optimizing operational efficiency  without losing personalization or context in interactions.

Impact

+40%

First Contact Resolution (FCR)

-25%

Global AHT in handled inquiries

100%

traceable and auditable actions

-35%

Operational costs

Así es cómo lo resuelve Alan

Alan Charli and Alan X are conversational agents for voice and text, designed to operate in complex customer service environments. 

They function as intelligent layers capable of understanding, reasoning, and autonomously resolving inquiries across both digital and voice channels, without human intervention.

  • Interpret user intent in natural language
  • Cross-check and verify information across multiple systems
  • Execute end-to-end resolution of complex inquiries
  • Maintain full traceability of every interaction
  • Interpret user intent in natural language
  • Cross-check and verify information across multiple systems
  • Execute end-to-end resolution of complex inquiries
  • Maintain full traceability of every interaction

How Alan solves it

Alan Charli and Alan X are conversational agents for voice and text, designed to operate in complex customer service environments. 

They function as intelligent layers capable of understanding, reasoning, and autonomously resolving inquiries across both digital and voice channels, without human intervention.

Interpret user intent in natural language

Cross-check and verify information across multiple systems

Execute end-to-end resolution of complex inquiries

Maintain full traceability of every interaction

A faster, more efficient and more personalized service, ready to meet the expectations of today’s customer.

CX Insights

Quality analysis and business intelligence reports.

AlanX

Cognitive copilot for human advisors

Real-time assistance for human agents.

HiveAcademy

AI-powered agent training platform

Continuous training and performance improvement for human agents and the system.

Kira

Metahuman AI agent

Metahuman assistant for query resolution.

SideKick

Customer support copilot

Cognitive support for complex case resolution and decision-making.

Charli

Text-based conversational agent

End-to-end support across digital channels.

Voxi

Cognitive voice agent

Voice-based support with autonomous reasoning and full query resolution.